15.07.25 (inclusive)

Participation in the project and employment

MVP

ICT tasks

Media sphere

Information processing and transformation

Software/ IS,

Mobile app

This methodology solves the key problem of modern e-commerce: the dissonance between the growing expectations of personalized service and the limited capabilities of traditional interfaces.

For users: Reducing product search time by 30-50% due to interactive selection instead of manual navigation. Personalized recommendations based on dialog analysis will increase the relevance of suggestions ("What you need"). Simplification of complex tasks (selection of kits, comparison) through intuitive dialogue. Reducing frustration: instant answers to questions about availability, delivery, and returns 24/7. Increase trust through transparency of LLM recommendations ("Suitable for you because..."). A sense of control: the story of the dialogue serves as a "digital consultant" throughout the buyer's journey. Increased loyalty due to the unique, convenient service (reduction of churn by 15-25%). For the company: A 15-25% increase in purchase conversion due to lower barriers and personalization. An increase in the average receipt (AOV) by 10-20% due to cross-selling and smart upsets. Reducing the load on the support service by up to 40% (automation of routine requests). Deep understanding of the client: dialogue analysis provides unique insights into unspoken needs. Increase NPS by 20+ points due to problem solving speed and personalized experience. Improved SEO/SEM: Voice search via chat captures new queries. Reduction of CAC (cost of customer acquisition) due to the virality of the "smart" service. Building a competitive advantage as a technological leader that increases market share.

Vodyanikov Andrey Anatolyevich